Purpose. Identifying the most effective form of interaction between regional universities and industry. Methods. In the article has been made a comparative analysis of the characteristics of the university – real sector of the economy interaction for the period from 2000 to the present. Key factors that hinder the effective innovative development of the region have been singled out. The evolution of the development of business incubators has been studied, which made it possible to view the business incubator as one of the key areas of innovative development of the territory. The main problems that can be solved only by activating the activity of business incubators in a regional university are identified. The positive and negative aspects of virtual business incubators have been analyzed. Results. Based on the analysis it is presented a new model of a network business incubator. A distinctive feature of the presented model is the combination of a classical and virtual business incubator, which allows to expand opportuni ties for residents and reduce costs for the university. This model will allow regional universities to strengthen their positions on the educational services market through the possibility of cooperation and the use of modern technology solutions in their activities, and ultimately enhance the competitiveness of the region. Scientific novelty. Scientific novelty lies in the assumption that the solution of the problem of effective interaction of regional universities and industry lies in the implementation of new formats of business incubators, namely a network model aimed at qualitative change of this interaction to ensure both mutually beneficial digital cooperation and ensure the region’s competitiveness in whole.
Ovchinnikova N.E.
Московская школа управления СКОЛКОВО
Publications of the author
In the journalp. 143-151
KEY COMPETENCIES OF THE UNIVERSITIES TOP MANAGEMENT (ANALYSIS OF FOREIGN PRACTICES)
N. Ovchinnikova
Published: 15 March 2017
Purpose. Analyzing foreign practices of selecting universities supervisory boards members and criteria by which the selection of university leaders has made. Currently, the Russian Federation is actively upgrading the system of higher education and it is an urgent question of what key skills and competencies should have members of the supervisory board and university administrators. The Russian practice of a systematic and structured vision for selecting the supervisory board and the head of the university is № t represented. However, this is the key feature in the university’s life and the further development of the university depends on it. That is why the analysis of foreign practices is a prerequisite for the formation of the vision of the supervisory board and the head of the university Methods. The main selection criteria for the supervisory boards of US universities, KPI supervisory boards, and criteria for selecting university administrators were identified and analyzed. Moreover, the effectiveness of their activities was assessed. This article is a synthesis of analytical material and written using statistical analysis methods and case studies. Results. The results of this review are: the identification of the key qualities of the members of the supervisory board; the composition of the supervisory board was determined; based on these qualities was derived a model of the supervisory board, typical for the leading US universities. The algorithm of selecting the head of the university is presented in the article. The key managers’ qualities are described, which were assembled and divided into subgroups for a comprehensive assessment of the personality of the manager. Based on this analysis are determined the key competencies of the effective university higher manager. The article presents typical models and algorithms of selecting the university’s’ leaders, which can serve as practical recommendations for Russian universities. The competencies and key qualities of the university’s top management are described. These features are basic and adaptive for university’s management in the Russian Federation. Scientific novelty. analyzing the big data of the current topic, it’s structuring and developing "support" points for universities in the top management selection. This kind of research didn’t present in Russia and this analytical review is practically applicable for any types of universities in Russia.
